---
title: "Rentals in NYC"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns
    vertical_layout: fill
    source_code: embed
---

```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(p8105.datasets)
library(plotly)
```

Column {data-width=650}
-----------------------------------------------------------------------

### Price distribution by borough 

```{r}
data("nyc_airbnb")

nyc_airbnb = 
  nyc_airbnb %>% 
  mutate(stars = review_scores_location / 2) %>%
  select(
    neighbourhood_group, neighbourhood, stars, price, room_type, lat, long) %>%
  rename(borough = neighbourhood_group) %>% 
  sample_n(5000) %>% 
  drop_na(stars)

nyc_airbnb %>% 
  mutate(
    borough = fct_reorder(borough, price)
  ) %>% 
  plot_ly(
    y = ~price, color = ~borough, type = "box", colors = "viridis")
```

Column {data-width=350}
-----------------------------------------------------------------------

### Map of rentals

```{r}
nyc_airbnb %>% 
  filter(price < 600) %>% 
  mutate(
    text_label = str_c("Borough: ", borough, "\nPrice: $", price)
  ) %>% 
  plot_ly(
    x = ~lat, y = ~long, type = "scatter", mode = "markers", color = ~price, text = ~text_label
  )
```

### Number of rentals by borough

```{r}
nyc_airbnb %>% 
  count(borough) %>% 
  mutate(borough = fct_reorder(borough, n)) %>% 
  plot_ly(x = ~borough, y = ~n, color = ~borough, type = "bar", colors = "viridis")
```